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Genetic algorithms and Bayesian optimization at the Linear IFMIF Prototype Accelerator

https://repo.qst.go.jp/records/2005196
https://repo.qst.go.jp/records/2005196
821d93cb-6147-400e-941a-5566adc361c8
アイテムタイプ 会議発表用資料 / Presentation(1)
公開日 2023-03-06
タイトル
タイトル Genetic algorithms and Bayesian optimization at the Linear IFMIF Prototype Accelerator
言語 en
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_c94f
資源タイプ conference presentation
著者 Andrea De Franco

× Andrea De Franco

Andrea De Franco

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Akagi Tomoya

× Akagi Tomoya

Akagi Tomoya

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Manuel P. Alonso

× Manuel P. Alonso

Manuel P. Alonso

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Benoit Bolzon

× Benoit Bolzon

Benoit Bolzon

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Carin Yann

× Carin Yann

Carin Yann

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Thomas Chaminade

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Thomas Chaminade

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Nicolas Chauvin

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Nicolas Chauvin

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Hirosawa Koki

× Hirosawa Koki

Hirosawa Koki

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Itagaki Tomonobu

× Itagaki Tomonobu

Itagaki Tomonobu

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David Jimenez

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David Jimenez

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Kondo Keitaro

× Kondo Keitaro

Kondo Keitaro

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Saerom Kwon

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Saerom Kwon

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Jacques Marroncle

× Jacques Marroncle

Jacques Marroncle

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Masuda Kai

× Masuda Kai

Masuda Kai

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Mizuno Akihiko

× Mizuno Akihiko

Mizuno Akihiko

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Ota Masayuki

× Ota Masayuki

Ota Masayuki

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Sugimoto Masayoshi

× Sugimoto Masayoshi

Sugimoto Masayoshi

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抄録
内容記述 The Linear IFMIF Prototype Accelerator (LIPAc) is designed to accelerate 125mA deuteron beams in continuous wave. The beam from an ECR ion source is accelerated by an RFQ up to 5MeV and guided to a beam dump, after a horizontal bend. Next year a superconductive LINAC will be installed between the RFQ and beam dump to boost the beam energy up to 9MeV. Recently we started to introduce advanced optimization algorithm for various tasks involving the commissioning and operation of the machine. The beam current extracted from the ECR source is optimized by regulating the strength of 2 coils of the ECR with Gaussian Process Bayesian optimization. The optimal settings are found automatically within few minutes. We plan to tune additional settings: 2 tuners, gas flow and intermediate electrodes. We also present the optics simulation optimization with the use of genetic algorithms. The goal is to optimize a section of the transport line to improve the measurement uncertainty of the beam energy spread with the slit/grid method in a dispersive region including the bend. The strengths of 5 quadrupoles are tuned to obtain the Pareto front describing the minimum beam size for the highest dispersion at the grid location, with the constraint that the beam size is small enough along the whole accelerator to have negligible losses. The relative uncertainty of the set of measurements is then minimized from 25% to 1%.
会議概要(会議名, 開催地, 会期, 主催者等)
内容記述 加速器・ビーム物理の機械学習ワークショップ
発表年月日
日付 2023-03-06
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